Let's perform a z-test for proportions, two samples: Researchers want to test the effectiveness
of a new anti-anxiety medication. In clinical testing, 64 out of 200 people taking the medication
report symptoms of anxiety. Of the people receiving a placebo, 92 out of 200 report symptoms of
anxiety. Is the medication working any differently than the placebo? Test this claim using alpha = 0.05.

Steps for z-Test for Proportions, Two Samples

1. Define Null and Alternative Hypotheses

2. State Alpha

3. State Decision Rule

4. Calculate Test Statistic

5. State Results

6. State Conclusion

Let's begin.

1. Define Null and Alternative Hypotheses

Figure 1.

2. State Alpha

Alpha = 0.05

3. State Decision Rule

Using an alpha of 0.05 with a two-tailed test, we would expect our distribution to look something like this:

Figure 2.

Here we have 0.025 in each tail. Looking up 1 - 0.025 in our z-table, we find a critical value
of 1.96. Thus, our decision rule for this two-tailed test is:

If Z is less than -1.96, or greater than 1.96, reject the null hypothesis.

4. Calculate Test Statistic

Figure 3.

5. State Results

z = 2.869

Result: Reject the null hypothesis.

6. State Conclusion

There was a significant difference in effectiveness between the medication group and the placebo group, z = -2.869, p < 0.05.